Nvidia Unveils Neural Texture Compression for AI-Powered Texture Compression

Published on January 06, 2026 | Translated from Spanish
Conceptual illustration of a video game texture being compressed by a neural network, showing a drastic reduction in its file size while maintaining visual details. Nvidia logo visible.

Nvidia Presents Neural Texture Compression for Compressing Textures with AI

Nvidia has unveiled a new technology called Neural Texture Compression. This system uses neural networks to pack and decompress textures in video games, promising to reduce their size by up to a factor of four without the player noticing any loss in quality. It positions itself as a direct evolution of traditional compression methods. 🚀

The Mechanism Behind Neural Compression

The operation is based on a neural encoder-decoder pair. The neural encoder processes high-resolution textures during the game development phase, generating a highly reduced compressed file. Subsequently, during game execution, a specialized neural decoder, which runs on the tensor cores of GeForce RTX GPUs, is responsible for reconstructing the original texture in real time. This process replaces classic algorithms like Block Compression (BC).

Key Advantages of the Process:
  • Disk Space Reduction: Games can store many more high-fidelity textures without excessively increasing the total download size.
  • Lower Memory Bandwidth Usage: By transferring smaller compressed data, the pressure on the GPU's memory subsystem is relieved.
  • Optimization for Specific Hardware: The decoder is designed to leverage the RTX architecture, making the process efficient.
Nvidia claims that the technology is ready for development studios to implement in their projects.

Implications for Development and Hardware

This innovation addresses two growing problems in the industry: the enormous installation sizes of games and VRAM requirements. Modern titles with detailed assets easily exceed 100 GB. By compressing textures more intelligently, developers can consider creating denser and visually richer worlds without penalizing user storage as much.

Direct Impacts on System Resources:
  • Benefit for GPUs with Limited VRAM: By needing less video memory data at any given time, graphics cards with less VRAM can handle higher quality textures.
  • More Manageable Game Libraries: Players could see reduced space occupied by their games, a relief for hard drives and SSDs.
  • Integrated Workflow: The technology is incorporated into Nvidia's development stack, making it easier for studios to adopt.

The Future of Real-Time Compression

The promise of lighter games without sacrificing visual fidelity is tempting. However, the main question is when it will transition from a technical demonstration to a feature present in commercial titles. Until that moment arrives, the industry and players continue to manage the constant increase in file sizes. This technology represents a significant step toward optimizing resources and improving efficiency in computer graphics. 🎮